ArticleAnimals : an open access journal from MDPI2022
Diversity of Volatile Compounds in Raw Milk with Different n-6 to n-3 Fatty Acid Ratio.
Article in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Integrating Transcriptomic and Proteome Analysis to Understand Muscle Qualities and Related Regulatory Factors of Holstein Beef Under Transportation Stress.Food science & nutrition · 2026Article
- Analytical Methods for the Characterisation of Aroma Compounds in Milk.Foods (Basel, Switzerland) · 2026Review
- Preparation and study of chemical, sensory, and nutritional values of balanced polyunsaturated fatty acid safflower seed oil blended oil.Food chemistry: X · 2025Article
- Two-Dimensional GC-ToFMS Analysis of Volatile Organic Compounds in Fermented Camel Milk (Shubat).Foods (Basel, Switzerland) · 2025Article
- Food-Derived Compounds Extend the Shelf Life of Frozen Human Milk.Foods (Basel, Switzerland) · 2025Article
- Effects of Sodium Acetate and Sodium Butyrate on the Volatile Compounds in Mare's Milk Based on GC-IMS Analysis.Animals : an open access journal from MDPI · 2025Article
- Food-Derived Compounds Extend the Shelf-Life of Frozen Human Milk.bioRxiv : the preprint server for biology · 2025Article
- Changes in Serum Metabolome Following Low-Energy Diet-Induced Weight Loss in Women with Overweight and Prediabetes: A PREVIEW-New Zealand Sub-Study.Metabolites · 2024Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Fatty acid profiles may affect the flavor of milk. The diversity of volatile compounds in raw milk with different ratios of n-6 to n-3 fatty acids (8:1, 4:1, and 3:1) was studied. Gas chromatography-ion mobility spectroscopy (GC-IMS) is a promising technology for the accurate characterization and detection of volatile organic compounds in agricultural products, but its application in milk is rare or even unavailable. In this experiment, GC-IMS fingerprints along with principal component analysis (PCA) were used to study the flavor fingerprints of fresh milk samples with different percentages. Thirty-four typical target compounds were identified in total. A diversity of flavor compounds in raw milk with different n-6/n-3 was observed. After reduction of the proportion, the concentrations of volatile compounds, such as hexanoic acid (dimer and monomer), ethyl acetate, and 2-methylpropanoic acid (dimer and monomer) decreased, while those of 4-methyl-2-pentanone, pentanal, and acetone increased. We carried out PCA according to the signal strength of the identified volatile compounds, and the examination showed that it could precisely make a distinction among the samples in a comparative space. In conclusion, the results show that the volatile compounds are different as the proportion is different. The volatile compounds in raw milk are mainly hexanoic acid, ethyl acetate, and 2-methylpropanoic acid. After adjustment of the ratio, the flavor substances of the medium-ratio (MR) group were mainly ketones, while those of the low-ratio (LR) group were aldehydes. Therefore, in production, reducing the impact on volatile substances while adjusting the proportion of n-6 and n-3 fatty acids to obtain functional dairy products should be taken into consideration.
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